Lead Data Engineer

We are seeking a Lead Data Engineer to own end-to-end data modeling and pipeline delivery as part of a multi-phase enterprise data lake re-architecture. You will partner closely with US-based stakeholders and a distributed engineering team to turn business needs into reliable, well-modeled data products—apply to help drive the next phase to completion.

Responsibilities

• Lead dimensional data modeling using star schemas, fact/dimension design, and aggregate-aware structures
• Own end-to-end delivery of data pipelines from requirements through deployment
• Gather business requirements directly from stakeholders and translate them into data products
• Design and build ELT workflows in Databricks and dbt aligned to warehouse best practices
• Define and execute unit tests and support UAT to ensure data quality and usability
• Document models, pipelines, and decisions clearly to enable shared understanding
• Coordinate with a distributed engineering team to plan work, unblock delivery, and align outputs
• Partner with stakeholders to validate assumptions, manage expectations, and communicate progress
• Troubleshoot data issues and optimize transformations for reliability and maintainability

Requirements

• 5+ years of data engineering experience across modern and traditional stacks
• 5+ years of data warehousing experience with strong ETL/ELT foundations
• 5+ years of dimensional data modeling experience using Kimball and star schema patterns
• Strong leadership skills with high autonomy and ownership in light-touch environments
• Strong stakeholder management skills with frequent interaction with non-technical US partners
• Strong project delivery skills across requirements, build, test, UAT, and deployment
• Advanced SQL skills for analytics-grade transformations and validation
• Hands-on Databricks skills for building and operating data pipelines
• Hands-on dbt skills for modular transformations, testing, and documentation
• Strong communication skills with clear written and verbal updates and documentation habits
• Strong requirements gathering skills with ability to anticipate future business needs
• English proficiency: B2 Upper-Intermediate

Nice to have

• Apache Spark experience for large-scale data processing
• Experience with Tableau or Power BI for basic dashboarding and validation
• HR domain exposure and ability to ramp up quickly on domain concepts
• Background with legacy BI/ETL tools such as Informatica, Cognos, or Business Objects
• Experience with traditional RDBMS platforms such as Oracle

Benefits

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn